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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

By harnessing the power of healthcare data analysis , organizations can extract valuable insights from complex datasets, ultimately leading to improved healthcare outcomes and operational efficiency. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

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Are You Harnessing the Power of SaaS BI Tools for Dynamic Data Access?

FineReport

By providing real-time insights, advanced analytics, and dynamic visualization capabilities, these tools empower businesses to make timely and informed decisions that drive operational efficiency and maintain a competitive edge. Furthermore, these tools support advanced functionality such as predictive analytics and intelligent data alerts.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Winkenbach said that his data showed that “deliveries in big cities are almost always improved by creating multi-tiered systems with smaller distribution centers spread out in several neighborhoods, or simply pre-designated parking spots in garages or lots where smaller vehicles can take packages the rest of the way.”

Big Data 275
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Debunking observability myths – Part 5: You can create an observable system without observability-driven automation

IBM Big Data Hub

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. This information is vital for capacity planning and performance optimization.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 108